2011
DOI: 10.1016/j.rse.2010.11.009
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Submarine groundwater discharge in tidal flats revealed by space-borne synthetic aperture radar

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Cited by 26 publications
(10 citation statements)
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“…For example, time-series Landsat TIR data and coastal 222 Rn surveys have been used to identify over 30 new sources of SGD along the fractured bedrock coast of Ireland (Wilson & Rocha, 2012). Space-borne synthetic aperture radar has been successfully used to identify SGD over large tidal flat regions (Kim, Moon, Kim, Park, & Lee, 2011). Satellite data can also detect terrestrial groundwater discharge zones, as Sass et al (2013) demonstrate with Landsat TIR data from Alberta, Canada.…”
Section: Introductionmentioning
confidence: 99%
“…For example, time-series Landsat TIR data and coastal 222 Rn surveys have been used to identify over 30 new sources of SGD along the fractured bedrock coast of Ireland (Wilson & Rocha, 2012). Space-borne synthetic aperture radar has been successfully used to identify SGD over large tidal flat regions (Kim, Moon, Kim, Park, & Lee, 2011). Satellite data can also detect terrestrial groundwater discharge zones, as Sass et al (2013) demonstrate with Landsat TIR data from Alberta, Canada.…”
Section: Introductionmentioning
confidence: 99%
“…There are only a few studies on gently sloping tidal flats with seepage faces, possibly because it is usually difficult for investigators to enter and move around, and the investigation time and scope are also limited (Kim et al 2011). Additionally, it is usually difficult to quantify SGD in the intertidal zones with the persistence of seepage faces (Gardner 2007;Nakada et al 2011); however, tidal flats are not only widely existing but also key elements in marine environments for rich bioactivity and water purification (Xin et al 2009;Xia and Li 2012).…”
Section: Introductionmentioning
confidence: 99%
“…This probably overestimates RMSz in relation to surface roughness estimated by the SAR sensors, which evaluate surface roughness at a much larger spatial extent dependent on sensor resolution. Shellfish beds are often patchy in nature (see, for instance, [51]), which means that at larger spatial scales, which are used by the satellites, there is more chance of including flat mud and water in between the shellfish [52].…”
Section: Theoretical and Semi-empirical Simulation Of Shellfish-inducmentioning
confidence: 99%